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The WAYWT Discussion Thread - Page 6720  

post #100786 of 117677


MMM suit, Brooks Brothers x 2.
post #100787 of 117677

untuck shirt bigwig, and take photo from a bit further away so there isn't some vertical distortion. Otherwise, looks pretty good for a jeans+tee combo.

post #100788 of 117677
Even just untucking the shirt would do a lot.
post #100789 of 117677
Quote:
Originally Posted by hendrix View Post

damn it stitches, I don't want otter jerking off over my pics

shit. sorry, mang.
post #100790 of 117677
back to college today. gotta move in so kinda breezy.

r1bebzG.jpg

Gant, Outlier, LL Bean mocs.
post #100791 of 117677
Quote:
Originally Posted by ropseau View Post

fuji can probably tell us more on what tests to use to put confidence intervals on mean height and weight statistics for styleforum members.


Kind of strange when someone who just joined this month knows what your degree is, but I think this would be quite hard. I wouldn't assume the weight and height of members here are normally distributed. The left tail of the distribution is probably very heavy, there seems to be a lot of very short members and very thin members so it would probably look like chi squared distribution, but it obvs wouldn't be because we aren't just a bunch of squared normal results. Having created a formula for this distribution, doing the necessary integration and creating estimators for the parameters we could create some confidence intervals for the mean height and weight. I'd rather create a multivariate linear regression to estimate an SF members weight based on their height and the size of items of clothes they've bought and sold and if they lift. We may have to use some time series for how long ago they bought the clothes. We could probably get an R value of like 0.8.


I think Superbobo has like a masters or Phd in stats so he'd probably be better at this.
post #100792 of 117677
right.

you also need to take the narsyphus formula into consideration (narcissus + sisyphus quadratics). the first order differential will tell you how vain sf members are and integrating will yield the futility of their... ah well you get the picture.
post #100793 of 117677
unfortunately not a statistics phd :/

However, why not just sample from the empirical distribution, and bootstrap for asymmetric (if the distribution is asymmetric) confidence intervals?

But I like the regression approach more, I think it would be very feasible to predict weight from what people have bought, e.g., rick owens is negatively correlated with weight, EG interacts with race, so if you are white and buy EG, you are on the heavy side, if asian, less so?
post #100794 of 117677
what the fuck
post #100795 of 117677
agreed Brad, akward joke from me...
post #100796 of 117677
i was referring to this entire conversation
post #100797 of 117677
..
Edited by SuperBobo - 9/2/13 at 3:57am
post #100798 of 117677
.
Edited by SuperBobo - 9/2/13 at 3:57am
post #100799 of 117677
Quote:
Originally Posted by theBigwig View Post
Warning: Spoiler! (Click to show)

 

Just a try



another day with same shoes

 

 

 

 

What's the tee? 

post #100800 of 117677
Quote:
Originally Posted by fuji View Post

Kind of strange when someone who just joined this month knows what your degree is, but I think this would be quite hard. I wouldn't assume the weight and height of members here are normally distributed. The left tail of the distribution is probably very heavy, there seems to be a lot of very short members and very thin members so it would probably look like chi squared distribution, but it obvs wouldn't be because we aren't just a bunch of squared normal results. Having created a formula for this distribution, doing the necessary integration and creating estimators for the parameters we could create some confidence intervals for the mean height and weight. I'd rather create a multivariate linear regression to estimate an SF members weight based on their height and the size of items of clothes they've bought and sold and if they lift. We may have to use some time series for how long ago they bought the clothes. We could probably get an R value of like 0.8.


I think Superbobo has like a masters or Phd in stats so he'd probably be better at this.

you're drunk (or posing) if you think you'd get an R(squared) of .8 from any 'natural' data set.
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